Triple

T24651809
Position Surface form Disambiguated ID Type / Status
Subject Parliamentary State Secretary E610268 entity
Predicate isCivilServantPosition P62141 FINISHED
Object false LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: false | Statement: [Parliamentary State Secretary, isCivilServantPosition, false]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isCivilServantPosition
Context triple: [Parliamentary State Secretary, isCivilServantPosition, false]
  • A. isCivilianOffice
    Indicates that an office or position is non-military and belongs to the civilian sphere of authority or administration.
  • B. positionOnCivilService chosen
    Indicates the role, rank, or status an individual holds within a civil service system.
  • C. isNonCabinetPosition
    Indicates that the position held by an individual is not part of the official cabinet-level roles within a government or organization.
  • D. isMinisterialRole
    Indicates that a given role is a ministerial position, typically associated with governmental or religious ministry responsibilities.
  • E. isOfficerOf
    Indicates that one entity holds an official position, role, or office within another entity (such as an organization, group, or institution).
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e2c4d350a481909170482bc2ce6af9 completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f41011d8048190be70329ba0bfb7c7 completed May 1, 2026, 2:29 a.m.
PD Predicate disambiguation batch_69f40ed9d47881909fcfc0d04e8d074a completed May 1, 2026, 2:24 a.m.
Created at: April 18, 2026, 2:34 a.m.